ThinkCentre M70q

A retired friend of mine bought a ThinkCentre M70q Gen 5 12TD001KUS Tiny new through the county school system earlier this year for a little over $500. Looks similar to yours with the exception of a 512GB SSD and a single 16GB stick of RAM (something she didn't know when she bought it). I helped her

i've been down this road with the whole n100 vs used tiny pc thing. what helped me was grabbing an Intel NUC 11 with Core i5 when prices dropped. the quick sync on 11th gen handles 4k hdr transcoding without breaking a sweat and you get dual channel ram. for under 300 eur look for used Lenovo ThinkC

Your bottleneck isn't network or storage — it's transcoding. The Pi 4 doesn't have hardware video acceleration that Plex can use, so when a mobile client can't direct-play (mismatched codec, screen size, bandwidth limit), the Pi software-transcodes and 4 cores aren't enough. That's why "optimize for

Id buy this: Lenovo ThinkCentre M70q Gen 5 – Tiny Desktop – 14th-Gen Intel Core i5-14400T – 16 GB DDR5 – 512 GB NVMe SSD – Intel UHD Graphics 730 – Wi-Fi 6E & Gigabit Ethernet – NO OS – Raven Black (Open Box) https://sellout.woot.com/offers/lenovo-thinkcentre-m70q-gen-5-tiny-desktop-14th-gen-intel-c

the N97,N100,N150 processors tend to reach 100% CPU load during mid-heavy task so if you plan to use it for plex only nothing else it should be fine My used Lenovo M70q tiny been runing 24/7 for years now as a plex/jellyfin server just fine can do multiple 1080p streams at once and one 4K at a time

I would say go for 2nd hand Lenovo Thinkcentre M70q Gen 3. I bought mine for $200 with warranty and upgraded to 16gb RAM and added a 1TB 2.5" HDD. (Came with i3 12100T, 8GB ram + 500gb nvme) and keep the extra cash. It supports 2 x NVME + 1 x 2.5" SATA + 2 x DDR4 SO-DIMM + and has like 6 X USB 3 + H

1. Frigate is smart enough to crop the object and send only a detected motion part to yolo. You will see that most of your detected object (e.g. is person 90% XXXXX) using pixels (XXXXX) below 100K pixel (320x320). There is absolute noting to gain in upscaling to 640x640 and use 640x640 engine which

I have 24x8MP cams, but use only substream (640x480) of 14 cams feed to Frigate for object detection. I see no need to feed 3840x2160 to Frigate as substream can do the same job. All 24x 3840x2160 goto NVR for 24x7 recording. Frigate is only for object detection. The keys are following; - No need fo

I guess it depends on the use case. My kids do game stream (Sunshine/Moonlight) so codec support was important and therefore we went with NUCs (12 Pro I think). For my homelab, I went with two Lenovo M70Q Gen 3. Quiet, small, easy to upgrade and quite thrust worthy brand. Those can be found for €250

Bei mir in einer glasfaser/netzwerktechnik Firma (!) haben wir Lenovo think centre m70q gen4. Die sind gar nicht mal so schlecht. Wir benutzen die um EINE Website darzustellen. Auf die Frage warum kein raspbi: das hat nie funktioniert!